General Information Req # WD00083841 Career area: Data Management and Analytics Country/Region: Slovakia State: Bratislavský kraj City: Bratislava Date: Tuesday, June 17, 2025 Working time: Full-time Additional Locations:  * Slovakia Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. 
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). 
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements

Exciting opportunity for a fresh graduate! Join Lenovo as a Big Data Engineer in Bratislava, Slovakia!

Responsibilities: 

Design, development, and maintenance of the data platform, including data warehouses, data lakes, etc., to ensure the efficiency of data storage and management.Development of ETL processes, extract, clean, and transform data from multiple data sources to ensure data quality and meet business analysis requirements.Utilization of big data technologies such as Hadoop, Spark, and Flink to optimize data processing performance and achieve efficient processing of massive data.Collaboration with data analysts and algorithm engineers, understand business needs, provide high - quality data support, and contribute to business decision - making.Establish and improve data development specifications, processes, and standards to ensure the standardization and maintainability of data development work.

Qualifications

Recent bachelor's degree or above in computer science, software engineering, statistics, or related fields. Up to 3 years experience of data development. Possess good communication skills and teamwork spirit, have strong problem - solving and learning abilities, and show enthusiasm for new technologies.Ability to work in multicultural and diverse team. Fluent English

What we offer:

An environment that supports career development and fast progression A collaborative and diverse team The opportunity to join a team that works closely with countries across the world with possible travel opportunities. Competitive salary Medical careEmployer contribution to the Third pillar pension system Life Insurance3 Sick days per yearAdditional vacation daysBroad selection of soft and hard skills trainings and individual mentoring .. plus other benefits and lots of fun!

Base gross monthly salary from 1500 EUR, depending on experience + variable part 12% of your annual earnings.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. If you are selected for the next interview stage, Lenovo will use a third-party company called Harver to assess your skills match for this position. By applying, you agree that Lenovo may share your email, along with your first and last name, with Harver. Additional Locations:  * Slovakia * Slovakia

AI PROCESSING NOTICE
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.